期刊
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
卷 161, 期 1, 页码 42-61出版社
ELSEVIER
DOI: 10.1016/j.ejor.2003.08.029
关键词
production scheduling; multi-objective optimization
Most of research in production scheduling is concerned with the optimization of a single criterion. However the analysis of the performance of a schedule often involves more than one aspect and therefore requires a multi-objective treatment. In this paper we first present (Section 1) the general context of multi-objective production scheduling, analyze briefly the different possible approaches and define the aim of this study i.e. to design a general method able to approximate the set of all the efficient schedules for a large set of scheduling models. Then we introduce (Section 2) the models we want to treat-one machine, parallel machines and permutation flow shops-and the corresponding notations. The method used-called multi-objective simulated annealing-is described in Section 3. Section 4 is devoted to extensive numerical experiments and their analysis. Conclusions and further directions of research are discussed in the last section. (C) 2003 Elsevier B.V. All rights reserved.
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